octad.db | R Documentation |
This is a support package for the main package octad
which can be obtained here
Package includes all required data for drug repurposing OCTAD pipeline. Initialization of the pipeline starts with listing all available samples:
phenoDF=.eh[["EH7274"]]
#load data.frame with samples included in the OCTAD database.
head(phenoDF)
#list all data included within the package
Besides, the package includes examples of the output from diffExp and runsRGES functions from the octad package along with desctiption of the data:
res=octad.db::res_example
#load example res from octad.db
?res_example
sRGES=octad.db::sRGES_example
#load example sRGES from octad.db
?sRGES_example
CCLE.log2.read.count.matrix
log2-transformed matrix containing expression of 56,318 genes in 1,019 cell lines provided in CCLE database
CCLE.overlaps
log2-transformed matrix containing expression of 56,318 genes in 51 cell lines present in both LINCS and CCLE databases
CCLE.sample.meta
data.frame containing cell lines name and tissue of origin from CCLE database
CTRPv2.sensprof
Cancer Therapeutics Response Portal (CTRP) data.frame containing AUC and IC50 for every drug-cell line pair
EncoderDF
a data.frame (64 features by 19127 samples) computed from autoEncoder for every sample in the OCTAD database
cmpd_sets_ChemCluster
list of compounds and their clusters based on chemical structures
cmpd_sets_mesh
list of compounds and their associations with 662 pharmacological MeSH Terms provided in PubChem
fda_drugs
data.frame of FDA approved drugs containing name, target and clinical phase
lincs_sig_info
data.frame for LINCS signatures including experiment id, cell line used in the experiment, purturbagen name, purturbagen type, dose and time
lincs_signatures
Differential expression of 978 genes in 416,560 experiments
merged_gene_info
data.frame with the annotation of 75,078 genes which could be used for identifier mapping
octad.LINCS.counts
expression matrix of 965 genes and 19127 samples in OCTAD database (965 genes were profiled in LINCS)
phenoDF
data.frame with samples from the OCTAD database including tissue of origin, sample type (tumor-derived or healthy-derived), cancer, orginal source (e.g. TCGA), mutation and stage data if available
random_gsea_score
precomputed permutated gsea scores for chembl, mesh and ChemCluster databases that are used for drug enrichment analysis
tsne
2 dimension tSNE for every sample in the OCTAD database along with sample.id, cancer type and source of the initial data
octad.counts.and.tpm.h5
expression (TPM and raw counts) matrix of 60,498 genes and 19,127 samples
The code can be viewed at the GitHub repository, which also lists the contributor code of conduct:
https://bioconductor.org/packages/octad or https://github.com/Bin-Chen-Lab/octad for the pipeline package
Zeng, B., Glicksberg, B.S., Newbury, P., Chekalin, E., Xing, J., Liu, K., Wen, A., Chow, C. and Chen, B., 2021. OCTAD: an open workspace for virtually screening therapeutics targeting precise cancer patient groups using gene expression features. Nature protocols, 16(2), pp.728-753. https://www.nature.com/articles/s41596-020-00430-z
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.